DigitalOcean is an infrastructure-as-a-service (IaaS) platform from the company of the same name headquartered in New York. It is known for its support of managed Kubernetes clusters and “droplets” feature.
$5
Starting Price Per Month
Microsoft Azure
Score 8.6 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
DigitalOcean
Microsoft Azure
Editions & Modules
1GB-16GB
$5.00
Starting Price Per Month
8GB-160GB
$60.00
Starting Price Per Month
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
DigitalOcean
Microsoft Azure
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
Vultr is a new player in the game. They don't advertise their hardware model and for that reason, people may not trust them. I have run few benchmarks on Vultr, they performed slightly better than DigitalOcean but they aren't trustworthy. Their transparency index is very low …
I've tried both AWS and Azure and, while they're both great solutions, they are much more challenging to setup and maintain. The idea that my billing could spike because of something unexpected leaves me a tad uneasy. For our solutions I'd rather pay the $10/mo with …
Initially we started using DigitalOcean due to their pricing point as we were in development phase. Slowly when we used it, we starting liking it a lot as it is very fast & easy to get started, compared to the other Cloud Providers we've used. Also they have blogs and …
DigitalOcean offers low prices, much lower than AWS (Azure) however AWS provides much more features and better performance than DigitalOcean.
I chose DigitalOcean to save myself some money.
I would say that Azure stacks up pretty good and sometimes better in comparison to what Google Cloud Platform has to offer. I don't like GCP for its absurd licensing fees and it's expensive for just Using EC2 Instances. However, DigitalOcean and AWS can offer far better …
We have settled with Microsoft Azure considered its effective administration and the ability to data visualization and analysis, together with the top-notch security/stability.
DigitalOcean is perfect for hosting client websites, running marketing tools, and managing media storage with Spaces and CDN. The use of Droplets to quickly launch landing pages or WordPress sites for campaigns is a Godsend. It’s great for fast, cheap, and scalable solutions. But for complex microservices or projects needing strict compliance (like HIPAA), DigitalOcean may not always be the best fit, but that depends heavily on your project.
Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
Over time, Microsoft has established itself as a reliable technology partner, providing useful analysis tools such as compute, bandwidth, and memory usage statistics.
I prefer Azure Functions over AWS because it is cheaper and easier to use than AWS for ready-to-go services. It's simple to ship Node.js functions without any additional dependencies.
Using Microsoft's tuning techniques, its applications are always improving in terms of both functionality and usability.
The UI is intuitive and includes multiple Microsoft tools, and the service integration and implementation for various solutions are excellent.
Some products/services available on other Cloud providers aren't available, but they seem to be catching up as they add new products like Managed SQL DBs.
While they have FreeBSD droplets (VMs), support for *BSD OSs is limited. I.e. the new monitoring agent only works on Linux.
There are no regions available on South America.
They don't seem to offer enterprise-level products, even basic ones as Windows Server, MS SQL Server, Oracle products, etc.
The reliability of hardware is low as [compared] to AWS. Sometimes processes of allocation, deallocation of resources take quite a long time without having any intimation. If the instances are costly, such delay in stopping incurs extra cost.
Overall cost is much higher for ML and BI Services. Basic storage and compute cost is also bit more as compare to AWS.
Azure can surely do better with overall DevOps support. Cloud formation needs [a] lot more maturity and features.
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
I honestly can't think of an easier way to set up and maintain your own server. Being able to set up a server in minutes and have fully control is awesome. The UX is incredibly intuitive for first-time users as well so there's no reason to be intimidated when it comes to giving DigitalOcean a shot.
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
They have always been fast, and the process has been straight-forward. I haven't had to use it enough to be frustrated with it, to be honest, and when I have an issue they fix it. As with all support, I wish it felt more human, but they are doing aces.
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
DigitalOcean is an inexpensive product as compared to other products available in the market. The UI is easy and the beginner can also understand the UI with the step by step guide. It provides a lot of custom features and the user needs to pay only for what they are using. Amazon has a complex UI and is on the expensive side. DigitalOcean is simple to use and is easily manageable and the servers can easily be set up without additional cost and such.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
Positive - Elastic computer instances make it possible to pay for only for what you need.
Positive - Competitive pricing - some of the products that DigitalOcean offers are much cheaper than those offered by competitors.
Negative - Having to go to other cloud computing platforms for more specific, advanced services like Computer Vision optimized services, GPU cloud compute instances, etc...
For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.